where does Stability-AI generative-models save generated images
Succeeded in deploying and running SDXL-Turbo, but can't seem to find the generated image...
Where does generative-models-main save the generted image?
generative-models-main.zip downloaded from https://github.com/Stability-AI/generative-models
Here is the full screen output:
(base) marco@marco-desktop:/media/marco/DATA/SOFTWARE/AI/Stability-AI/generative-models-main$ python3 -m venv .pt2
(base) marco@marco-desktop:/media/marco/DATA/SOFTWARE/AI/Stability-AI/generative-models-main$ source .pt2/bin/activate
(.pt2) (base) marco@marco-desktop:/media/marco/DATA/SOFTWARE/AI/Stability-AI/generative-models-main$ pip3 install -r requirements/pt2.txt
Collecting clip@ git+https://github.com/openai/CLIP.git (from -r requirements/pt2.txt (line 3))
Cloning https://github.com/openai/CLIP.git to /tmp/pip-install-_84o8wos/clip_fe4a40cd6aab45c6bd427798e6fc5528
Running command git clone --filter=blob:none --quiet https://github.com/openai/CLIP.git /tmp/pip-install-_84o8wos/clip_fe4a40cd6aab45c6bd427798e6fc5528
Resolved https://github.com/openai/CLIP.git to commit a1d071733d7111c9c014f024669f959182114e33
Preparing metadata (setup.py) ... done
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(.pt2) (base) marco@marco-desktop:/media/marco/DATA/SOFTWARE/AI/Stability-AI/generative-models-main$ pip3 install .
Processing /media/marco/DATA/SOFTWARE/AI/Stability-AI/generative-models-main
Installing build dependencies ... done
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Building wheels for collected packages: sgm
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(.pt2) (base) marco@marco-desktop:/media/marco/DATA/SOFTWARE/AI/Stability-AI/generative-models-main$ pip3 install -e git+https://github.com/Stability-AI/datapipelines.git@main#egg=sdata
Obtaining sdata from git+https://github.com/Stability-AI/datapipelines.git@main#egg=sdata
Updating ./.pt2/src/sdata clone (to revision main)
Running command git fetch -q --tags
Running command git reset --hard -q 8bce77d147033b3a5285b6d45ee85f33866964fc
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(.pt2) (base) marco@marco-desktop:/media/marco/DATA/SOFTWARE/AI/Stability-AI/generative-models-main$ (.pt2) (base) marco@marco-desktop:/media/marco/DATA/SOFTWARE/AI/Stability-AI/generative-models-main$
bash: syntax error near unexpected token `('
(.pt2) (base) marco@marco-desktop:/media/marco/DATA/SOFTWARE/AI/Stability-AI/generative-models-main$ pip install diffusers transformers accelerate --upgrade
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(.pt2) (base) marco@marco-desktop:/media/marco/DATA/SOFTWARE/AI/Stability-AI/generative-models-main$ python
Python 3.10.10 (main, Mar 21 2023, 18:45:11) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
from diffusers import AutoPipelineForText2Image
import torch
pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16")
model_index.json: 100%|████████████████████████| 685/685 [00:00<00:00, 9.91MB/s]
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Fetching 18 files: 100%|████████████████████████| 18/18 [08:52<00:00, 29.57s/it]
Loading pipeline components...: 100%|███████████████████████████████████████| 7/7 [00:01<00:00, 6.97it/s]
pipe.to("cuda")
StableDiffusionXLPipeline {
"_class_name": "StableDiffusionXLPipeline",
"_diffusers_version": "0.24.0",
"_name_or_path": "stabilityai/sdxl-turbo",
"feature_extractor": [
null,
null
],
"force_zeros_for_empty_prompt": true,
"image_encoder": [
null,
null
],
"scheduler": [
"diffusers",
"EulerAncestralDiscreteScheduler"
],
"text_encoder": [
"transformers",
"CLIPTextModel"
],
"text_encoder_2": [
"transformers",
"CLIPTextModelWithProjection"
],
"tokenizer": [
"transformers",
"CLIPTokenizer"
],
"tokenizer_2": [
"transformers",
"CLIPTokenizer"
],
"unet": [
"diffusers",
"UNet2DConditionModel"
],
"vae": [
"diffusers",
"AutoencoderKL"
]
}
prompt = "A cinematic shot of a baby racoon wearing an intricate italian priest robe."
image = pipe(prompt=prompt, num_inference_steps=1, guidance_scale=0.0).images[0]
100%|███████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 1.89it/s]
you need to add "image" at the end
I am running it on google collab here you can try this updated code. It will save file as uuids
from diffusers import AutoPipelineForText2Image
import torch
import uuid
from PIL import Image
import cv2
pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16")
pipe.to("cuda")
prompt = "Realistic photo of ..."
image = pipe(prompt=prompt, num_inference_steps=1, guidance_scale=0.0).images[0]
# Generate a unique file name based on the prompt
filename = str(uuid.uuid4()) + ".jpg"
# Save the image with the generated file name
image.save(filename)
print(f"Image saved as {filename}")
# Read the image
img = cv2.imread(filename)
# Display the image using Colab's cv2_imshow function
cv2_imshow(img)
Your code works, but you need a line
from google.colab.patches import cv2_imshow